Overview
Transportation and logistics organizations manage supply chains that span multiple locations, carriers, and systems. Each stage of the journey generates operational data — from warehouse dispatch and vehicle tracking to delivery confirmation and inventory updates.
When this data is disconnected, operations teams work with delayed and incomplete information. Issues are identified late, SLA risks go undetected, and decisions are made without a complete picture of what is happening across the network.
SUDO builds real-time supply chain visibility platforms on AWS that connect IoT sensors, GPS data, warehouse management systems, and logistics applications into a unified operational view — giving teams the information they need to manage performance proactively.
Challenge
The Visibility Gaps in Complex Logistics Networks
These gaps reduce supply chain reliability, increase operational overhead, and limit the ability to manage performance proactively.
Transportation organizations often face:
1
Disconnected Systems and Data Sources
Warehouse management systems, transport management platforms, IoT sensors, and carrier data operate independently, creating fragmented and inconsistent information.
2
Delayed Shipment Tracking
Without real-time data integration, shipment status updates are delayed — making it difficult to identify and resolve issues before they breach SLAs.
3
Reactive Issue Management
Problems such as delays, stock shortages, and route deviations are typically identified after they have already impacted operations or customers.
4
Manual Reporting and Status Updates
Operations teams spend significant time manually aggregating data from multiple systems to produce shipment status reports and performance updates.
5
Limited SLA Monitoring
Tracking delivery performance against agreed SLAs across multiple customers and routes manually is difficult to maintain at scale.
Solution
A Unified Supply Chain Visibility Platform on AWS
SUDO builds a connected supply chain monitoring platform on AWS, integrating data from all logistics touchpoints into a single real-time operational view.
AWS IoT Core
Connects IoT sensors, GPS tracking devices, and connected logistics assets to the AWS cloud, streaming real-time location and condition data from the supply chain.
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Amazon Kinesis
Ingests and processes high-volume, real-time data streams from IoT devices and logistics systems for immediate operational analysis.
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Amazon Redshift
Stores and processes historical supply chain data to support performance analysis, trend reporting, and SLA measurement.
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AWS Glue
Transforms and integrates data from multiple logistics and warehouse management systems into a consistent format for unified reporting.
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Amazon QuickSight
Delivers real-time supply chain dashboards covering shipment status, delivery performance, inventory levels, and SLA compliance.
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Amazon CloudWatch
Monitors the health and performance of the visibility platform, ensuring data pipelines and integrations remain operational.
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Key Capabilities
Real-Time Shipment Tracking
Live visibility into every shipment's location, status, and condition across the full supply chain at all times, replacing delayed and disconnected status updates.
Proactive SLA Monitoring
Automated alerts surface potential SLA breaches before they occur, enabling dispatchers and operations teams to intervene before commitments are missed.
Unified Operations Dashboard
All supply chain data from IoT devices, warehouses, and carriers consolidated into a single QuickSight dashboard for operations and management teams.
Automated Performance Reporting
QuickSight dashboards replace manual data aggregation and status reporting, delivering accurate supply chain performance data on demand.
IoT and Warehouse Data Integration
AWS IoT Core and Kinesis connect physical supply chain assets directly to the analytics and reporting layer in real time.
Business Impact
The platform delivers consistent improvements across supply chain operations:
- Real-time visibility into shipment status, location, and condition across the full supply chain
- Proactive identification of delays and deviations before they impact SLA commitments
- Reduced manual effort in status reporting and performance tracking
- Improved SLA compliance through continuous, automated monitoring
- Faster issue resolution enabled by immediate access to accurate operational data
- Stronger customer communication backed by live, reliable shipment information
